Evidence map›Paper›PMID 31803492›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Validation of a consumer-grade activity monitor for continuous daily activity monitoring in individuals with multiple sclerosis.

Valerie J Block, Chao Zhao, Jill A Hollenbach, Jeffrey E Olgin, Gregory M Marcus, Mark J Pletcher, Roland Henry, Jeffrey M Gelfand, Bruce Ac Cree

Open access · goldAbstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025
    Review
  8. Article
  9. Actionable Wearables Data for the Neurology Clinic: A Proof-of-Concept Tool.Annals of clinical and translational neurology · 2025
    Article
  10. Article
  11. MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  12. Article
  13. The multidimensional sleep health of individuals with multiple sclerosis and Huntington's disease and healthy controls.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Valerie J BlockWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.ORCID https://orcid.org/0000-0001-6199-5484
Chao ZhaoWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
Jill A HollenbachWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
Jeffrey E OlginDepartment of Epidemiology and Biostatistics, University of California San Francisco, USA.
Gregory M MarcusDepartment of Epidemiology and Biostatistics, University of California San Francisco, USA.
Mark J PletcherDepartment of Medicine, University of California San Francisco, USA.
Roland HenryWeill Institute for Neurosciences, University of California San Francisco, USA.
Jeffrey M GelfandWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
Bruce Ac CreeWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, USA.
University of California, San Francisco · US

Funding

Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
NCATS NIH HHS KL2 TR000143
6 · The paper itself

Abstract

backgroundTechnological advancements of remote-monitoring used in clinical-care and research require validation of model updates.

objectivesTo compare the output of a newer consumer-grade accelerometer to a previous model in people with multiple sclerosis (MS) and to the ActiGraph, a waist-worn device widely used in MS research.

methodsThirty-one individuals with MS participated in a 7-day validation by the Fitbit Flex (Flex), Fitbit Flex-2 (Flex2) and ActiGraph GT3X. Primary outcome was step count. Valid epochs of 5-min block increments, where there was overlap of ≥1 step/min for both devices were compared and summed to give a

resultsBland-Altman plots showed no systematic difference between the Flex and Flex2; mean step-count difference of 25 more steps-per-day more recorded by Flex2 (95% confidence intervals (CI) = 2, 48;

conclusionsSteps from Flex and Flex2 can be used interchangeably. Differences in total step count between ActiGraph and Flex devices can make cross-device comparisons of numerical step-counts challenging particularly for faster walkers.

Indexed as

accelerometrymotor activitymultiple sclerosisPhysical activityvalidation studies as topic (mesh heading)

Identifiers

PMID31803492
PMCPMC6876176
OpenAlexW2990745514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.